WearWow-ai搭配&智能试衣&电子衣橱

穿出你的WOW时刻!

Description

穿搭没灵感?打开 WearWow,穿搭、试衣、整理衣橱全搞定!
WearWow 是一款为时尚生活打造的 AI 穿搭APP,集合 虚拟试衣间、智能穿搭推荐、电子衣橱管理 三大核心功能。帮你在几分钟内完成从灵感获取到完整搭配的整个过程,轻松解决「今天穿什么」的烦恼。
不管你是风格百变的穿搭达人,还是追求高效的极简主义者,WearWow 都能成为你贴身的穿搭助手,让每一件衣服都物尽其用,每一天都穿得有趣又有范!
【AI 智能电子衣橱】
整理衣柜从未如此轻松又好玩!
‒ 一键上传衣物照片,系统自动去背景、抠图入库
‒ AI 精准识别衣物类型、颜色、材质等,分类清晰不费力
‒ 支持自动扫描识别分割人物图服饰,加入衣橱更便捷
【智能搭配推荐】
再也不用在衣柜前发呆半小时
‒ DIY 自由搭配:拖拽衣服自由组合,打造专属搭配墙
‒ AI 灵感推荐:根据天气、身材、风格偏好智能生成穿搭方案
‒ 今日穿什么? 穿搭助手会根据温度和场合推荐每日 OOTD
‒ 支持穿搭日历和出行穿搭规划,旅行、通勤、约会都安排得明明白白
【虚拟试衣新体验】
没穿上身,也能知道合不合适!
‒ 上传照片即可试穿全套穿搭,模拟真实穿衣效果
‒ 不满意还可以更换照片、换搭配,试到满意为止
‒ 截图抖音/小红书/明星/Idol/博主穿搭图,即可一键试穿同款,轻松变身穿搭 ICON
‒ 不用试穿几十件,减少盲买风险,省时又省心
【AI 图像识别黑科技】
一张图,自动变身为你的“穿搭资产”
‒ 只需上传一张人物图,AI 即可自动分割上衣、下装、裙装等单品
‒ 智能抠图、去背景、去褶皱,还原清晰平铺图
‒ 轻松导入衣服原图,快速生成干净可视化展示
‒ 衣橱搭建更高效,管理起来更专业
为什么选择 WearWow?
‒ 时尚与科技的结合,让穿搭更简单更有趣
‒ 打造属于你的高颜值数字衣橱
‒ 快速搭配、试穿、整理,一站式完成
‒ 灵感不断,告别重复搭配和穿搭焦虑
现在就下载 WearWow,解锁属于你的时尚穿搭新方式!
每天穿的有灵感,出门更自信,从穿对第一件开始。
【相关协议】
用户协议:https://m5.meitu.com/m5/static/wearWow/userServer/index.html
隐私政策地址:https://m5.meitu.com/m5/static/wearWow/privacyPolicyDetail/index.html
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Screenshots

WearWow FAQ

  • Is WearWow free?

    Yes, WearWow is completely free and it doesn't have any in-app purchases or subscriptions.

  • Is WearWow legit?

    Not enough reviews to make a reliable assessment. The app needs more user feedback.

    Thanks for the vote

  • How much does WearWow cost?

    WearWow is free.

  • What is WearWow revenue?

    To get estimated revenue of WearWow app and other AppStore insights you can sign up to AppTail Mobile Analytics Platform.

User Rating

4.08 out of 5

26 ratings in China

5 star
14
4 star
6
3 star
2
2 star
2
1 star
2
Ratings History

WearWow Reviews

可以在线换装挺好玩

ccccccx7 on

China

免费免费免费好评

期待很久了

低调怎么样 on

China

再也不用担心买的不好看了

Store Rankings

Ranking History
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Category Rankings
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WearWow Installs

Last 30 days

WearWow Revenue

Last 30 days

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App Info

Category
Lifestyle
Languages
English
Recent release
1.2.0 (1 month ago )
Released on
Aug 26, 2025 (2 months ago )
Also available in
China
Last Updated
3 days ago
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